• DocumentCode
    2201445
  • Title

    Comparison of the optimisation and linear sequential method for tuning of multiple PSSs

  • Author

    Yee, Soon Kiat ; Milanovid, J.V.

  • Author_Institution
    Dept. of Electr. Eng. & Electron., UMIST, Manchester, UK
  • fYear
    2004
  • fDate
    10-10 June 2004
  • Firstpage
    1743
  • Abstract
    The system stability is becoming an increasingly important issue in the deregulated power systems. Locally tuned controllers however, may not be able to meet the demands for robust stability of the system with increased level of uncertainties and coordinated tuning of large number of controllers is becoming necessary. Various optimisation based methods for coordinated tuning of controllers had been reported in the literature in the past and discussed separately. This work compares three commonly used forms of the objective function for coordinated tuning of PSSs to determine the effectiveness of the optimisation procedure. In addition, the optimisation-based method (s) are compared with the linear sequential method (based on the residues of the open loop transfer function) for coordinated tuning of PSSs. Both methods are tested on a four-machine two-area system developed in Matlab/simulink environment. The methods are compared in terms of ease of tuning, effectiveness and duration of the tuning procedure.
  • Keywords
    electricity supply industry deregulation; optimisation; power engineering computing; power system stability; robust control; tuning; Matlab-simulink environment; PSS; coordinated tuning; deregulated power systems; four-machine two-area system; linear sequential method; locally tuned controllers; open loop transfer function; optimisation; power system stability; robust stability; tuning procedure; Control systems; Control theory; Optimal control; Optimization methods; Power system dynamics; Power system security; Power system stability; Robust stability; System testing; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2004. IEEE
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-8465-2
  • Type

    conf

  • DOI
    10.1109/PES.2004.1373176
  • Filename
    1373176